AIMC Topic: Humans

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A small-world topology enhances the echo state property and signal propagation in reservoir computing.

Neural networks : the official journal of the International Neural Network Society Jan 16, 2019
Cortical neural connectivity has been shown to exhibit a small-world (SW) network topology. However, the role of the topology in neural information processing remains unclear. In this study, we investigated the learning performance of an echo state n...
Nonlinear Dynamics Connectome Memory Humans Neural Networks, Computer Brain
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Application of supervised machine learning algorithms in the classification of sagittal gait patterns of cerebral palsy children with spastic diplegia.

Computers in biology and medicine Jan 16, 2019
Gait classification has been widely used for children with cerebral palsy (CP) to assist with clinical decision making and to evaluate different treatment outcomes. The aim of this study was to evaluate supervised machine learning algorithms in the c...
Humans Child Support Vector Machine Neural Networks, Computer Cerebral Palsy Decision Trees Female Gait Male
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A single nucleotide polymorphism panel for individual identification and ancestry assignment in Caucasians and four East and Southeast Asian populations using a machine learning classifier.

Forensic science, medicine, and pathology Jan 16, 2019
Single nucleotide polymorphism (SNP) profiling is an effective means of individual identification and ancestry inferences in forensic genetics. This study established a SNP panel for the simultaneous individual identification and ancestry assignment ...
Humans Machine Learning Retrospective Studies Genotype Support Vector Machine DNA, Mitochondrial Asian People Female Male Polymorphism, Single Nucleotide DNA Degradation, Necrotic Chromosomes, Human, Y Genetics, Population White People DNA Fingerprinting Gene Frequency Chromosomes, Human, X Asia
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A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentation.

International journal of computer assisted radiology and surgery Jan 16, 2019
PURPOSE: Automated segmentation of anatomical structures in medical image analysis is a prerequisite for autonomous diagnosis as well as various computer- and robot-aided interventions. Recent methods based on deep convolutional neural networks (CNN)...
Vocal Cords Laryngoscopy Larynx Humans Machine Learning Neural Networks, Computer Endoscopy Image Processing, Computer-Assisted Semantics
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Breast mass classification in sonography with transfer learning using a deep convolutional neural network and color conversion.

Medical physics Jan 16, 2019
PURPOSE: We propose a deep learning-based approach to breast mass classification in sonography and compare it with the assessment of four experienced radiologists employing breast imaging reporting and data system 4th edition lexicon and assessment p...
Humans Female Young Adult Adult Ultrasonography ROC Curve Image Processing, Computer-Assisted Color Breast Neoplasms Deep Learning Adolescent
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Deep Learning Algorithms with Demographic Information Help to Detect Tuberculosis in Chest Radiographs in Annual Workers' Health Examination Data.

International journal of environmental research and public health Jan 16, 2019
We aimed to use deep learning to detect tuberculosis in chest radiographs in annual workers' health examination data and compare the performances of convolutional neural networks (CNNs) based on images only (I-CNN) and CNNs including demographic vari...
Adult Sensitivity and Specificity Male Middle Aged Deep Learning ROC Curve Radiography Humans Female Physical Examination Tuberculosis, Pulmonary Occupational Health Demography
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Adapting myoelectric control in real-time using a virtual environment.

Journal of neuroengineering and rehabilitation Jan 16, 2019
BACKGROUND: Pattern recognition technology allows for more intuitive control of myoelectric prostheses. However, the need to collect electromyographic data to initially train the pattern recognition system, and to re-train it during prosthesis use, a...
Movement Young Adult Adult Male Virtual Reality Electromyography Humans Artificial Limbs Machine Learning Pattern Recognition, Automated Female
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Rapid detection of internalizing diagnosis in young children enabled by wearable sensors and machine learning.

PloS one Jan 16, 2019
There is a critical need for fast, inexpensive, objective, and accurate screening tools for childhood psychopathology. Perhaps most compelling is in the case of internalizing disorders, like anxiety and depression, where unobservable symptoms cause c...
Psychology, Child Supervised Machine Learning Affect Psychopathology Wearable Electronic Devices Child, Preschool Child ROC Curve Logistic Models Models, Statistical Signal Processing, Computer-Assisted Sensitivity and Specificity Male Humans Anxiety Female Depression
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Spinal cord detection in planning CT for radiotherapy through adaptive template matching, IMSLIC and convolutional neural networks.

Computer methods and programs in biomedicine Jan 15, 2019
BACKGROUND AND OBJECTIVE: The spinal cord is a very important organ that must be protected in treatments of radiotherapy (RT), considered an organ at risk (OAR). Excess rays associated with the spinal cord can cause irreversible diseases in patients ...
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Neural Networks, Computer Tomography, X-Ray Computed Image Processing, Computer-Assisted Quality of Health Care Spinal Cord Humans Spinal Cord Injuries
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Automated diagnosis of HIV-associated neurocognitive disorders using large-scale Granger causality analysis of resting-state functional MRI.

Computers in biology and medicine Jan 15, 2019
HIV-associated neurocognitive disorders (HAND) represent an important source of neurologic complications in individuals with HIV. The dynamic, often subclinical, course of HAND has rendered diagnosis, which currently depends on neuropsychometric (NP)...
Magnetic Resonance Imaging Neurocognitive Disorders Diagnosis, Computer-Assisted HIV Infections Female Support Vector Machine Adult Male Middle Aged Humans Brain
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